m-aamir95/finetuning-sentiment-classification-model-with-amazon-appliances-data

<h2>About the model</h2> This model has been fine-tuned as part of learning the HuggingFace trainer API for the transformers.

This model has been fine-tuned over a sub-sample of the Amazon product reviews dataset, specifically the Amazon appliance dataset. The fine-tuned model is able to pick and classify the sentiment of product reviews successfully. <i>However, because this model has been fine-tuned over a sample of products, therefore, it is recommended to use this model with caution.</i>

<h2>About the dataset</h2> A subsample of the <a href="https://cseweb.ucsd.edu/~jmcauley/datasets/amazon_v2/">Amazon appliance reviews dataset</a> has been used to fine-tune the original Distilbert model.

<h2>Fine-tune results</h2> <table> <tr> <th>Metric</th> <th>Value</th> </tr> <tr> <td>Accuracy</td> <td>0.94</td> </tr> <tr> <td>F1 Score</td> <td>0.96</td> </tr> </table>